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THE COMPUTATIONAL-REPRESENTATIONAL PARADIGM AS NORMAL SCIENCE - FURTHER SUPPORT

BEHAVIORAL AND BRAIN SCIENCES 1980年第3期3卷 406-407页

作者： ZUCKER, SW Computer Vision and Graphics Laboratory Department of Electrical Engineering McGill University Montreal Quebec CanadaH3A 2A7

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Virtual object manipulation in collaborative augmented reality environment

Virtual object manipulation in collaborative augmented reali...

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2004 IEEE International Conference on Industrial Technology, ICIT

作者： Nini, Brahim Batouche, Mohamed Chaouki LIRE Laboratory Vision and Computer Graphics Group Mentouri University 25000 Constantine Algeria

Sometimes, it is difficult to buy objects in the sense of there not evident adaptation to the anticipated place. To facilitate this operation, it would be possible to study virtually the disposition without being obliged to proceed to a real displacement. The augmented reality is one area to allow such operation since the essence of its principle is that. It would be possible to visualize objects to sell in a scene corresponding to the site of the customer. The salesman and the client would be able to 'discuss' of possible dispositions. In this article, we present one foundation of this realization. In the occurrence, how the manipulation of virtual objects is possible for the operation of disposition. Then we present a simple method of shared manipulation in a network. © 2004 IEEE.

关键词： Virtual reality

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Improving classifiers with unlabeled weakly-related videos

Improving classifiers with unlabeled weakly-related videos

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作者： Leistner, Christian Godec, Martin Schulter, Samuel Saffari, Amir Werlberger, Manuel Bischof, Horst Computer Vision Laboratory ETH Zurich Switzerland Institute for Computer Graphics and Vision TU Graz Austria Oxford Brookes University and Sony Computer Entertainment London United Kingdom

ISBN: (纸本)9781457703942

Current state-of-the-art object classification systems are trained using large amounts of hand-labeled images. In this paper, we present an approach that shows how to use unlabeled video sequences, comprising weakly-related object categories towards the target class, to learn better classifiers for tracking and detection. The underlying idea is to exploit the space-time consistency of moving objects to learn classifiers that are robust to local transformations. In particular, we use dense optical flow to find moving objects in videos in order to train part-based random forests that are insensitive to natural transformations. Our method, which is called Video Forests, can be used in two settings: first, labeled training data can be regularized to force the trained classifier to generalize better towards small local transformations. Second, as part of a tracking-by-detection approach, it can be used to train a general codebook solely on pair-wise data that can then be applied to tracking of instances of a priori unknown object categories. In the experimental part, we show on benchmark datasets for both tracking and detection that incorporating unlabeled videos into the learning of visual classifiers leads to improved results. © 2011 IEEE.

关键词： Classification (of information)

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A geometric deformation model for stable cloth simulation

A geometric deformation model for stable cloth simulation

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5th Workshop on Virtual Reality Interactions and Physical Simulations, VRIPHYS 2008

作者： Stumpp, Thomas Spillmann, Jonas Becker, Markus Teschner, Matthias Computer Graphics University of Freiburg Germany Compxuter Vision Laboratory ETH Zurich Switzerland

ISBN: (纸本)9783905673708

We propose an adapted shape-matching approach for the efficient and robust simulation of clothing. A combination of two different cluster types is employed to account for high stretching and shearing, and low bending resistance. Due to the inherent handling of overshooting issues, the proposed shape-matching deformation model is robust. The proposed cluster types allow for a computationally efficient handling of bending. The geometric deformation model is combined with a novel collision handling approach. The technique employs spatial subdivision to detect collisions and self-collisions. The response scheme is derived from an existing approach for elastic rods. To illustrate the physically plausible dynamics of our approach, it is compared to a traditional physically-based deformation model. Experiments indicate that similar cloth properties can be reproduced with both models. The computational efficiency of the proposed scheme enables the interactive animation of clothing and shells. © The Eurographics Association 2008.

关键词： Computational efficiency

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Long-range correlation analysis of urban traffic data

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Chinese Physics B 2010年第8期19卷 55-64页

作者：盛鹏王俊峰唐铁桥赵树龙 School of Computer Science Sichuan University Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University School of Transportation Science and Engineering Beijing University of Aeronautics and Astronautics

This paper investigates urban traffic data by analysing the long-range correlation with detrended fluctuation analysis. Through a large number of real data collected by the travel time detection system in Beijing, the variation of flow in different time periods and intersections is studied. According to the long-range correlation in different time scales, it mainly discuss the effect of intersection location in road net, people activity customs and special traffic controls on urban traffic flow. As demonstrated by obtained results, the urban traffic flow represents three-phase characters similar to highway traffic. Moreover, compared by the two groups of data obtained before and after the special traffic restrictions （vehicles with special numbered plates only run in a special workday） enforcement, it indicates that the rules not only reduce the flow but also avoid irregular fluctuation.

关键词： urban traffic data long-range correlation detrended fluctuation analysis special traffic restriction

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Frame-to-frame coherence and the hidden surface computation: Constraints for a convex world 81

Frame-to-frame coherence and the hidden surface computation:...

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8th Annual Conference on computer graphics and Interactive Techniques, SIGGRAPH 1981

作者： Hubschman, Harold Zucker, Steven W. Computer Vision and Graphics Laboratory Department of Electrical Engineering McGill University MontrealQC Canada

ISBN: (纸本)0897910451

Frame-to-frame coherence is the highly structured relationship that exists between successive frames of certain animation sequences. From the point of view of the hidden surface computation, this implies that parts of the scene will become visible or invisible in a predictable fashion. In this paper the frame-toframe coherence constraints are identified and characterized for static scenes restricted to stationary, closed, convex, nonintersecting polyhedra. The animation derives from a continuous movement of the viewer. The mathematical analysis of the constraints is geometric, and leads to a characterization of the self-occlusion relationship over a single polyhedron;and to a characterization of the occlusion or change of occlusion relationship over two polyhedra. Based on these constraints, an algorithm is presented which generates successive frames in an animation sequence. © 1981 ACM.

关键词： Animation

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Evaluating physical quantities and learning human utilities from RGBD videos 16

Evaluating physical quantities and learning human utilities ...

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2016 SIGGRAPH ASIA Virtual Reality Meets Physical Reality: Modelling and Simulating Virtual Humans and Environments, SA 2016

作者： Zhu, Yixin Jiang, Chenfanfu Zhao, Yibiao Terzopoulos, Demetri Zhu, Song-Chun UCLA Center for Vision Cognition Learning and Autonomy United States UCLA Computer Graphics and Vision Laboratory United States

ISBN: (纸本)9781450345484

We propose a notion of affordance that takes into account physical quantities generated when the human body interacts with real-world objects, and introduce a learning framework that incorporates the concept of human utilities, which in our opinion provides a deeper and finer-grained account not only of object affordance but also of people's interaction with objects. Rather than defining affordance in terms of the geometric compatibility between body poses and 3D objects, we devise algorithms that employ physics-based simulation to infer the relevant forces/pressures acting on body parts. By observing the choices people make in videos (particularly in selecting a chair in which to sit) our system learns the comfort intervals of the forces exerted on body parts (while sitting). We account for people's preferences in terms of human utilities, which transcend comfort intervals to account also for meaningful tasks within scenes and spatiotemporal constraints in motion planning, such as for the purposes of robot task planning. © 2016 Copyright held by the owner/author(s).SA '16, December 05-08 2016.

关键词： Motion planning

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Real-time droplet modeling using color-space environment matting 09

Real-time droplet modeling using color-space environment mat...

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SIGGRAPH 2009: Posters, SIGGRAPH '09

作者： Choudhury, Biswarup Hao, Pisith Chandran, Sharat Vision Graphics and Imaging Laboratory Department of Computer Science and Engineering Indian Institute of Technology Bombay India

ISBN: (纸本)9781450379281

Amongst all atmospheric phenomena, rain is probably the most commonly used effect to create realistic immersive virtual environments, and to set the mood in movie storytelling. Although not immediately obvious, the beauty of rain emanates from the interplay of the involved light-matter interaction, generating effects of refraction and reflection, coupled with scattering effects. At the core, rain consists of water droplets under the influence of gravity. Current state of the art methods of generating rain are either computationally burdening, or not realistic enough. The key idea we introduce in this paper is to consider these droplets as transparent objects in the environment matting (EM) framework. This enables careful preprocessing to discover the light transport phenomena. We end up with a free-viewpoint real-time technique of simulating realistic droplets and rain in novel environments.

关键词： Rain

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Training sequential on-line boosting classifier for visual tracking

Training sequential on-line boosting classifier for visual t...

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作者： Grabner, Helmut Šochman, Jan Bischof, Horst Matas, Jiří Institute for Computer Graphics and Vision Graz University of Technology Austria Center for Machine Perception Czech Technical University Prague Czech Republic Computer Vision Laboratory ETH Zurich Switzerland

ISBN: (纸本)9781424421756

On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-line boosting training remain unsolved: (i) classifier evaluation speed optimization and, (ii) automatic classifier complexity estimation. In this paper we show how the on-line boosting can be combined with Wald's sequential decision theory to solve both of the problems. The properties of the proposed on-lineWaldBoost algorithm are demonstrated on a visual tracking problem. The complexity of the classifier is changing dynamically depending on the difficulty of the problem. On average, a speedup of a factor of 5-10 is achieved compared to the non-sequential on-line boosting. © 2008 IEEE.

关键词： Decision theory

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Head pose estimation with improved random regression forests

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2012 International Conference on Service-Oriented Computing, ICSOC 2012

作者： Zhu, Ronghang Sang, Gaoli Cai, Ying You, Jian Zhao, Qijun National Key Laboratory of Fundamental Science on Synthetic Vision Institute of Image and Graphics School of Computer Science China

ISBN: (纸本)9783319029603

Head pose estimation is an important step in many face related applications. In this paper, we propose to use random regression forests to estimate head poses in 2D face images. Given a 2D face image, Gabor filters are first applied to extract raw high-dimensional features. Linear discriminant analysis (LDA) is then used to reduce the feature dimension. Random regression forests are constructed in the low dimensional feature space. Unlike traditional random forests, when generating tree predictors in the forests we weight the features according to the eigenvalues associated with their corresponding LDA axes. The proposed method has been evaluated on a set of 2D face images synthesized from the BU-3DFE database and on the CMU-PIE database. The experimental results demonstrate the effectiveness of the proposed method. © Springer International Publishing 2013.

关键词： Regression analysis

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